Duration

3 Days

Description

This course uses lectures, demos, and hands-on labs to teach you about a variety of Google Cloud security controls and techniques. You’ll explore the components of Google Cloud and deploy a secure solution on the platform. You’ll also learn how to mitigate attacks at several points in a Google Cloud-based infrastructure, including distributed denial-of-service attacks, phishing attacks, and threats involving content classification and use.

Topics covered

• Infrastructure
• Application Development
• Security

Objectives:

This course teaches participants the following skills:

• Understanding the Google approach to security Managing administrative identities using Cloud Identity.
• Implementing least privilege administrative access using Google Resource Manager, Cloud IAM.
• Implementing IP traffic controls using VPC firewalls and Google Cloud Armor.
• Implementing Identity-Aware Proxy.
• Analyzing changes to the configuration or metadata of resources with Cloud audit logs.
• Securing a Kubernetes environment.
• Scanning for and redacting sensitive data with the Cloud Data Loss Prevention API.
• Scanning a Google Cloud deployment with Forseti.
• Mitigating important types of vulnerabilities, especially in public access to data and VMs.

Course Outline

The course includes presentations, demonstrations, and hands-on labs.

Module 1: Foundations of GCP Security

• Understand the GCP shared security responsibility model.
• Understand Google Cloud’s approach to security.
• Understand the kinds of threats mitigated by Google and by GCP.
• Define and Understand Access Transparency and Access Approval (beta).

Module 2:Cloud Identity

• Cloud Identity.
• Syncing with Microsoft Active Directory using Google Cloud Directory Sync.
• Using Managed Service for Microsoft Active Directory (beta).
• Choosing between Google authentication and SAML-based SSO.
• Best practices, including DNS configuration, super admin accounts.
• Lab: Defining Users with Cloud Identity Console.

Module 3: Identity, Access, and Key Management

• GCP Resource Manager: projects, folders, and organizations.
• GCP IAM roles, including custom roles.
• GCP IAM policies, including organization policies.
• GCP IAM Labels.
• GCP IAM Recommender.
• GCP IAM Troubleshooter.
• GCP IAM Audit Logs.
• Best practices, including separation of duties and least privilege, the use of Google groups in policies, and avoiding the use of primitive roles.
• Labs: Configuring Cloud IAM, including custom roles and organization policies.

Module 4: Configuring Google Virtual Private Cloud for Isolation and Security

• Configuring VPC firewalls (both ingress and egress rules).
• Load balancing and SSL policies.
• Private Google API access.
• SSL proxy use.
• Best practices for VPC networks, including peering and shared VPC use, correct use of subnetworks.
• Best security practices for VPNs.
• Security considerations for interconnect and peering options.
• Available security products from partners.
• Defining a service perimeter, including perimeter bridges.
• Setting up private connectivity to Google APIs and services.
• Lab: Configuring VPC firewalls.

Module 5: Securing Compute Engine:techniques and best practices

• Compute Engine service accounts, default and customer-defined.
• IAM roles for VMs.
• API scopes for VMs.
• Managing SSH keys for Linux VMs.
• Managing RDP logins for Windows VMs.
• Organization policy controls: trusted images, public IP address, disabling serial port.
• Encrypting VM images with customer-managed encryption keys and with customer-supplied encryption keys.
• Finding and remediating public access to VMs.
• Best practices, including using hardened custom images, custom service accounts (not the default service account), tailored API scopes, and the use of application default credentials instead of user-managed keys.
• Lab: Configuring, using, and auditing VM service accounts and scopes.
• Encrypting VM disks with customer-supplied encryption keys.
• Lab: Encrypting disks with customer-supplied encryption keys.
• Using Shielded VMs to maintain the integrity of virtual machines.

Module 6: Advanced Logging and Analysis

• Cloud Storage and IAM permissions.
• Cloud Storage and ACLs.
• Auditing cloud data, including finding and remediating publicly accessible data.
• Signed Cloud Storage URLs.
• Signed policy documents.
• Encrypting Cloud Storage objects with customer-managed encryption keys and with customer-supplied encryption keys.
• Best practices, including deleting archived versions of objects after key rotation.
• Lab: Using customer-supplied encryption keys with Cloud Storage.
• Lab: Using customer-managed encryption keys with Cloud Storage and Cloud KMS.
• BigQuery authorized views.
• BigQuery IAM roles.
• Best practices, including preferring IAM permissions over ACLs.
• Lab: Creating a BigQuery authorized view.

Module 7: Securing Applications: techniques and best practices

• Types of application security vulnerabilities.
• DoS protections in App Engine and Cloud Functions.
• Cloud Security Scanner.
• Lab: Using Cloud Security Scanner to find vulnerabilities in an App Engine application.
• Identity Aware Proxy.
• Lab: Configuring Identity Aware Proxy to protect a project.

Module 8: Securing Kubernetes: techniques and best practices

• Authorization.
• Securing Workloads.
• Securing Clusters.
• Logging and Monitoring.

Module 9: Protecting against Distributed Denial of Service Attacks

• How DDoS attacks work.
• Mitigations: GCLB, Cloud CDN, autoscaling, VPC ingress and egress firewalls, Cloud Armor (including its rules language).
• Types of complementary partner products.
• Lab: Configuring GCLB, CDN, traffic blacklisting with Cloud Armor.

Module 10: Protecting against content-related vulnerabilities

• Threat: Ransomware.
• Mitigations: Backups, IAM, Data Loss Prevention API.
• Threats: Data misuse, privacy violations, sensitive/restricted/unacceptable content.
• Threat: Identity and Oauth phishing.
• Mitigations: Classifying content using Cloud ML APIs; scanning and redacting data using Data Loss Prevention API.
• Lab: Redacting Sensitive Data with Data Loss Prevention API.

Module 11: Monitoring, Logging, Auditing, and Scanning

• Security Command Center.
• Stackdriver monitoring and logging.
• Lab: Installing Stackdriver agents.
• Lab: Configuring and using Stackdriver monitoring and logging.
• VPC flow logs.
• Lab: Viewing and using VPC flow logs in Stackdriver.
• Cloud audit logging.
• Lab: Configuring and viewing audit logs in Stackdriver.
• Deploying and Using Forseti.
• Lab: Inventorying a Deployment with Forseti Inventory (demo).
• Lab: Scanning a Deployment with Forseti Scanner (demo).